subject: Computer Science type: dataset
10.4231/D39P2W550
02/22/2012
Crawl of the Flickr photo-sharing social network from May 2006 returning a graph with 820,878 nodes and 9,837,214 edges. Dataset is distributed as a SMAT file with README file with code to read file in Python and MATLAB.
10.4231/D3TH8BM5D
09/13/2012
Dissertation on the cost and utility of network measurement infrastructures, including mechanisms for admission control, identifying measurement patterns that will benefit from inference, and selecting vantage points for wide-scale measurement.
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
10.4231/R74B2Z9Q
12/01/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=phi_m(x) on [0,m], m=2
B-spline Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
10.4231/R70K26JX
11/02/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=phi_m(x) on [0,m], m=10
B-spline Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
10.4231/R7R20ZB7
01/10/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=(1-x)^a*(1+x)^b on [-c,c], c=1/2, a=-1/2, b=1/2
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Sub-range Jacobi polynomials Walter Gautschi Archives weight functions
10.4231/R7M906MW
01/10/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x ) = (1-x)^a*(1+x)^b on [-1,c], c = 0, a = -1/2, b = 1/2
Computer Science Jacobi weight functions Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Sub-range Jacobi polynomials Walter Gautschi Archives weight functions
10.4231/R7VT1Q2N
11/02/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=(1-x)^a*(1+x)^b on [c,1], c=0, a=-1/2, b=1/2
Computer Science Jacobi weight functions Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Sub-range Jacobi polynomials Walter Gautschi Archives weight functions
10.4231/R7GH9FX2
11/22/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(2*mu)*exp(-x^2) on [-c,c], c=1, mu=0
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Subrange Hermite polynomials Walter Gautschi Archives weight functions
10.4231/R7736NWN
01/10/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^(2*mu)*exp(-x^2) on [c,Inf], c=1, mu=0
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Subrange Hermite polynomials Walter Gautschi Archives weight functions
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